It is best to consider a long-term outlook for a ticker by using Fundamental Analysis (FA) ratings. The rating of 1 to 100, where 1 is best and 100 is worst, is divided into thirds. The first third (a green rating of 1-33) indicates that the ticker is undervalued; the second third (a grey number between 34 and 66) means that the ticker is valued fairly; and the last third (red number of 67 to 100) reflects that the ticker is undervalued. We use an FA Score to show how many ratings show the ticker to be undervalued (green) or overvalued (red).
GPI’s FA Score shows that 2 FA rating(s) are green whileVRM’s FA Score has 0 green FA rating(s).
It is best to consider a short-term outlook for a ticker by using Technical Analysis (TA) indicators. We use Odds of Success as the percentage of outcomes which confirm successful trade signals in the past.
If the Odds of Success (the likelihood of the continuation of a trend) for each indicator are greater than 50%, then the generated signal is confirmed. A green percentage from 90% to 51% indicates that the ticker is in a bullish trend. A red percentage from 90% - 51% indicates that the ticker is in a bearish trend. All grey percentages are below 50% and are considered not to confirm the trend signal.
GPI’s TA Score shows that 6 TA indicator(s) are bullish while VRM’s TA Score has 3 bullish TA indicator(s).
GPI (@Automotive Aftermarket) experienced а +2.78% price change this week, while VRM (@Automotive Aftermarket) price change was -5.14% for the same time period.
The average weekly price growth across all stocks in the @Automotive Aftermarket industry was +1.13%. For the same industry, the average monthly price growth was -6.48%, and the average quarterly price growth was +1.92%.
GPI is expected to report earnings on Oct 22, 2025.
The Automotive Aftermarket consists of the manufacturing, remanufacturing, distribution, retailing, and installation of vehicle parts and accessories, after the sale of the automobile by the original equipment manufacturer (OEM) to the consumer. The aftermarket parts many not be manufactured by the OEM. According to a Technavio study, the US automotive parts aftermarket size is estimated to grow by USD 24.33 billion during 2018-2022 (CAGR 3%). Like many other industries, the automotive aftermarket is also being intensely penetrated by the digital boom. The online auto parts sales market is predicted to exceed $13B by 2020 (according to a study by Mirakl).
GPI | VRM | GPI / VRM | |
Capitalization | 5.46B | 133M | 4,102% |
EBITDA | 1.03B | -16.31M | -6,316% |
Gain YTD | 0.258 | 415.968 | 0% |
P/E Ratio | 11.64 | N/A | - |
Revenue | 22B | 11.6M | 189,655% |
Total Cash | 52.7M | 14.6M | 361% |
Total Debt | 5.47B | 780M | 701% |
GPI | ||
---|---|---|
OUTLOOK RATING 1..100 | 50 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 46 Fair valued | |
PROFIT vs RISK RATING 1..100 | 8 | |
SMR RATING 1..100 | 54 | |
PRICE GROWTH RATING 1..100 | 60 | |
P/E GROWTH RATING 1..100 | 21 | |
SEASONALITY SCORE 1..100 | 50 |
Tickeron ratings are formulated such that a rating of 1 designates the most successful stocks in a given industry, while a rating of 100 points to the least successful stocks for that industry.
GPI | VRM | |
---|---|---|
RSI ODDS (%) | 4 days ago79% | 4 days ago84% |
Stochastic ODDS (%) | 4 days ago83% | 4 days ago90% |
Momentum ODDS (%) | 4 days ago62% | 4 days ago90% |
MACD ODDS (%) | 4 days ago71% | 4 days ago90% |
TrendWeek ODDS (%) | 4 days ago73% | 4 days ago90% |
TrendMonth ODDS (%) | 4 days ago56% | 4 days ago88% |
Advances ODDS (%) | 6 days ago74% | 11 days ago77% |
Declines ODDS (%) | 11 days ago63% | 4 days ago90% |
BollingerBands ODDS (%) | 4 days ago88% | 4 days ago87% |
Aroon ODDS (%) | 4 days ago70% | 4 days ago90% |
A.I.dvisor indicates that over the last year, GPI has been closely correlated with AN. These tickers have moved in lockstep 83% of the time. This A.I.-generated data suggests there is a high statistical probability that if GPI jumps, then AN could also see price increases.
A.I.dvisor indicates that over the last year, VRM has been loosely correlated with CVNA. These tickers have moved in lockstep 33% of the time. This A.I.-generated data suggests there is some statistical probability that if VRM jumps, then CVNA could also see price increases.